model-based algorithms
Comparison of subspace analysis-based and statistical model-based algorithms for musical instrument classification
... DNMF algorithms perform classification with rates well below 95%, which indicates that parts-based descriptors are not suitable for classifying holistic descriptors, whereas the more holistic NMF classifier ...
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Cluster Analysis of Data Points using Partitioning and Probabilistic Model-based Algorithms
... A partitioning-based algorithm such as k-means has been widely reported in the literature for the clustering of data. Specifically, the algorithm is well known for clustering of data such as images [7], video ...
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REVIEW PAPER ON COLLABORATIVE FILTERING ALGORITHMS WITH THE COMMUNITY BASED USER DOMAIN MODEL
... memory-based algorithms and model-based ...a model but recommends online items quickly, while the former is time-consuming but does not require pre-building ...of algorithms, a ...
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FACTS Controllers Tuning for Stability Improvement in Power System Using Soft Computing Technique
... evolutionary algorithms which offer flexibility to designers for achieve a compromise between conflicting design objectives, the power angle and speed deviation in ...
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Optimization Algorithms for Generating Golomb Ruler Sequences – A Comparison
... Biogeography Based Optimization is a population based evolutionary algorithm (EA) developed for global optimization. To unravel the optimization problem, algorithm apes the migration strategy of species ...
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Erosion Wear Mathematical Model for WC-Co Reinforcement Hardness Distribution in Fe-Based Alloy Matrix With Evoluted Algorithms Francisco Casesnoves MSc MD
... 2016], model was presented in its main characteristics and primary numerical ...the model, algorithms with numerical determinations and comments about comparative study related to other discrete ...
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A Survey on Recommender Systems used for User Service Rating in Social Network
... A personalized suggestion approach was proposed by combining social network factors: intimate interest, social interest similarity, and interpersonal impact. In particular, the personal interest denotes user’s ...
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A Review on Detection of Abnormality in Endoscopic Image using Image Processing Technique
... R. Kwitt et al [11] proposed encoding is based on recent advances in scene recognition, where semantic modeling of image content has gained considerable attention over the last decade. While the semantics of ...
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Ontology based semantic predictive model for reconfigurable automation systems
... Data Model (VFDM) based on the semantic technologies to define various types of data and knowledge stored in a shared knowledge repository using a universal ...
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Bimodal scheduling for OBS networks and characterization of burst aggregation algorithms.
... aggregation algorithms [13], [21], [44], [47], [26] and [49] the arrival process of upper layer packets was assumed to follow a theoretical distribution, such as Poisson and ...aggregation algorithms using ...
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Comparative analysis of FACTS controllers by tuning employing GA and PSO
... optimization algorithms to plan an SMIB based model for improvement of power system ...optimization algorithms are able to search for the ideal PSS ...
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HARP: A MACHINE LEARNING FRAMEWORK ON TOP OF THE COLLECTIVE COMMUNICATION LAYER FOR THE BIG DATA SOFTWARE STACK
... programming model is derived from the original MapReduce programming ...programming model keeps the Map tasks alive and allows data exchange through collective communication operations (see Figure ...ming ...
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GA SAKe : forecasting landslide activations by a genetic-algorithms-based hydrological model
... The Uncino landslide is located at the western margin of San Fili (Fig. 8). It is a medium-size rock slide (max- imum width = 200 m, length > 650 m, estimated maximum vertical depth = 25 m), with a deep-seatedness ...
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Fractured Reservoirs History Matching based on Proxy Model and Intelligent Optimization Algorithms
... simulation model were generated from the 13 ...simulation model, the oil, water and gas rates and static pressures as the full simulation model outputs are used to create the objective ...
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Prevention of Attacks for Key Recovery Using Role Based Access Permissions
... adversarial model: the attacker is gives the opportunity to query the classifier with any chosen instance from the elements to determine whether it is labeled as malicious or ...
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Implementation and Comparison of Image Enhancement Techniques
... [8] Zheng Liu, Erik Blasch, Zhiyun Xue, Jiying Zhao, Robert Laganie, Wei Wu, “Objective Assessment of Multiresolution image fusion Algorithms for Context Enhancement in Night Vision: A Comparative Study”, IEEE ...
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Adaptive Fuzzy Model Predictive Control for Non-minimum Phase and Uncertain Dynamical Nonlinear Systems
... is based on the fact that, in general, only a small number of possible solutions actually need to be enumerated, so the remaining solutions are eliminated through the application of bound, ...
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Efficient Density Based Clustering Method for Two Dimensional Data
... The main goal of the application is to develop an efficient diverse density clustering method for two dimensional data. We develop a system that give the user a “feel” of different density based clustering ...
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Available online: https://edupediapublications.org/journals/index.php/IJR/ P a g e | 1919 Mapping Bug Reports To Relevant Files:A Ranking Model, A FineGrained Benchmark,And Feature Evaluation
... Available online: https://edupediapublications.org/journals/index.php/IJR/ P a g e | 1921 linguistics meanings, like “hotel” and “motel”, ar mapped into neighboring vectors within the embedding area. Since word ...
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Recommending Learning Path of Student using Machine Learning
... There are different classification algorithms. Need to choose the best suitable for the problem addressed in the education system. The idea is to use the proper machine learning algorithm for the classification of ...
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